Behavioural Responses to Robot Conversational Failures

Kontogiorgos, Dimosthenis; Pereira, Ana Isabel; Sahindal, Boran; Waveren, Sanne van; Gustafson, Joakim

doi:10.1145/3319502.3374782

Cited by 31 publications

(18 citation statements)

References 61 publications

(37 reference statements)

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“…Behavioural signals have also been examined at unexpected responses from human-robot interactions in the wild [5,30,75], with the use of social signals from low-level sensor input, to highlevel features that represent affect, attention and engagement. Research has also showed that users tend to enact different behavioural responses to failures from human-like robots in contrast to smart-speaker embodiments [49].…”

Section: Robot Failuresmentioning

confidence: 99%

Grounding behaviours with conversational interfaces: effects of embodiment and failures

Kontogiorgos

Pereira

Gustafson

2021

J Multimodal User Interfaces

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Conversational interfaces that interact with humans need to continuously establish, maintain and repair common ground in task-oriented dialogues. Uncertainty, repairs and acknowledgements are expressed in user behaviour in the continuous efforts of the conversational partners to maintain mutual understanding. Users change their behaviour when interacting with systems in different forms of embodiment, which affects the abilities of these interfaces to observe users’ recurrent social signals. Additionally, humans are intellectually biased towards social activity when facing anthropomorphic agents or when presented with subtle social cues. Two studies are presented in this paper examining how humans interact in a referential communication task with wizarded interfaces in different forms of embodiment. In study 1 (N = 30), we test whether humans respond the same way to agents, in different forms of embodiment and social behaviour. In study 2 (N = 44), we replicate the same task and agents but introduce conversational failures disrupting the process of grounding. Findings indicate that it is not always favourable for agents to be anthropomorphised or to communicate with non-verbal cues, as human grounding behaviours change when embodiment and failures are manipulated.

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Section: Robot Failuresmentioning

confidence: 99%

Grounding behaviours with conversational interfaces: effects of embodiment and failures

Kontogiorgos

Pereira

Gustafson

2021

J Multimodal User Interfaces

Self Cite

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“…Prior works have demonstrated how social signals such as upper body movements (e.g., [28]), gaze (e.g., [2,3]), and gestures (e.g., [3]) can be used to detect errors effectively. It is worth noting that most of these prior works used human-like robots, which have been shown to elicit different responses to failures than non-humanoid embodiments in social error scenarios [17]. Furthermore, prior research has mostly focused on social interaction scenarios or settings where robots serve as experts or leaders to guide humans through tasks.…”

Section: Background and Related Workmentioning

confidence: 99%

Not All Errors Are Created Equal: Exploring Human Responses to Robot Errors with Varying Severity

Stiber

Huang

2020

Companion Publication of the 2020 International Conference on Multimodal Interaction

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“…The mean time between technical failures for robots in the wild is often less than a few hours, and current HRI systems are not yet mature enough to effectively handle unexpected events [70]. Therefore, HRI errors have attracted growing interest in the research community, with recent studies focusing on data collection and experiments contributing to the understanding of how errors influence a user's perceptions and behavioral responses, as well as effective recovery strategies [90]. We survey existing studies on HRI errors with a user-centered perspective in Section 3.1.…”

Section: Related Work On Hri Errorsmentioning

confidence: 99%

A Taxonomy of Social Errors in Human-Robot Interaction

Tian

OviattSharon

2021

J. Hum.-Robot Interact.

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Robotic applications have entered various aspects of our lives, such as health care and educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are established and maintained through a positive social relationship between a user and a robot. This social relationship relies on the perceived competence of a robot on the social-emotional dimension. However, because of technical limitations and user heterogeneity, current HRI is far from error-free, especially when a system leaves controlled lab environments and is applied to in-the-wild conditions. Errors in HRI may either degrade a user’s perception of a robot’s capability in achieving a task (defined as performance errors in this work) or degrade a user’s perception of a robot’s socio-affective competence (defined as social errors in this work). The impact of these errors and effective strategies to handle such an impact remains an open question. We focus on social errors in HRI in this work. In particular, we identify the major attributes of perceived socio-affective competence by reviewing human social interaction studies and HRI error studies. This motivates us to propose a taxonomy of social errors in HRI. We then discuss the impact of social errors situated in three representative HRI scenarios. This article provides foundations for a systematic analysis of the social-emotional dimension of HRI. The proposed taxonomy of social errors encourages the development of user-centered HRI systems, designed to offer positive and adaptive interaction experiences and improved interaction outcomes.

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Behavioural Responses to Robot Conversational Failures

Cited by 31 publications

References 61 publications

Grounding behaviours with conversational interfaces: effects of embodiment and failures

Grounding behaviours with conversational interfaces: effects of embodiment and failures

Not All Errors Are Created Equal: Exploring Human Responses to Robot Errors with Varying Severity

A Taxonomy of Social Errors in Human-Robot Interaction

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